[1]
Choi, D. and Kim, H. 2025. GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers. Proceedings of the AAAI Conference on Artificial Intelligence. 39, 15 (Apr. 2025), 16019–16027. DOI:https://doi.org/10.1609/aaai.v39i15.33759.